Identification and Adaptive Position and Speed Control of Permanent Magnet DC Motor with Dead Zone Characteristics Based on Support Vector Machines
Authors
Abstract:
In this paper a new type of neural networks known as Least Squares Support Vector Machines which gained a huge fame during the recent years for identification of nonlinear systems has been used to identify DC motor with nonlinear dead zone characteristics. The identified system after linearization in each time span, in an online manner provide the model data for Model Predictive Controller of position and speed in order to tracking the desired references trajectory. In this method all the cascaded controllers including current, speed and position has been automatically tuned based on the identified model. The offered method has been tested on the servo-drive made specifically for this purpose, and all the results are practically examined and analyzed. The biggest advantage of this method is the self-tuning behavior which insulates the user for tuning any of the controller’s parameters. The online identification of the system provides the possibility to keep track of the changes in dynamics of the system as well as tackling the coulomb’s friction specifically in low speeds with accurate controlling of the speed and position for DC motors.
similar resources
DSP based Speed Control of Permanent Magnet Brushless DC Motor
This paper presents digital speed control of permanent magnet brushless dc motor using TMS320F2812 DSP controller. The DSP controller used here has the special features for digital motor control. Control algorithms used for the speed control has been implemented by assembly language programming in TMS320F2812 DSP controller. According to the input command, feedback and the control algorithm, th...
full textSpeed Control of Permanent Magnet Synchronous Motor by Antiwindup PI Controller and Comparison with Fuzzy Controller
In this paper, the driver with antiwindup and fuzzy high-performance and robust PI controller has been suggested for Permanent Magnet Synchronous Motor (PMSM). This controller is suggested for the design of the robust driver for three phase PMSM and the cost reduction of its control system. It’s useful for the industrial application and automation and ultimately speed control and the improvemen...
full textSpeed Control of Permanent Magnet Synchronous Motor by Antiwindup PI Controller and Comparison with Fuzzy Controller
In this paper, the driver with antiwindup and fuzzy high-performance and robust PI controller has been suggested for Permanent Magnet Synchronous Motor (PMSM). This controller is suggested for the design of the robust driver for three phase PMSM and the cost reduction of its control system. It’s useful for the industrial application and automation and ultimately speed control and the improvemen...
full textSpeed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller
A novel controller based on adaptive controller and fuzzy controller for Permanent Magnet Direct Current motor is proposed in this paper. The proposed controller is compared with adaptive controller and fuzzy controller for PMDC motor. By means of simulation in MATLAB, we concluded that the proposed controller will be achieved the shorter settling time and also lower overshoot and steady state ...
full textAnalysis of Speed Control in DC Motor Drive Based on Model Reference Adaptive Control
This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...
full textMy Resources
Journal title
volume 13 issue 2
pages 53- 66
publication date 2019-10
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023